Prediction of Land Use Change Trend of Wuhan City based on TM Remote Sensing Images and Markov Chain Model

Author

Jiao, Xiaoli ; Li, Jiangfeng ; Song, Wei ; Zhang, Xin

Author_Institution

Sch. of Econ. & Manage., China Univ. of Geosci., Wuhan, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

With the rapid urbanization, the land use of Wuhan changes frequently, and the method of remote sensing is used widely on macroscale and mesoscale land use change survey. The aim of the study was to classify the land use of Wuhan to obtain the area of every kind of land types, and to predict land use change trend in the next 15 years. In this process, the method of layered extraction of land types based on TM remote sensing images and Markov chain model were applied. Through the prediction, the area, the change rate, as well as percentage of total area of every kind of land types in different periods of Wuhan were showed in the results. All these can play a positive role on the land rational use of Wuhan in the future.

Keywords

Markov processes; feature extraction; geophysical image processing; land use planning; remote sensing; Markov chain model; TM remote sensing images; Wuhan City; land use change trend prediction; layered extraction method; macroscale land use change survey; mesoscale land use change survey; Cities and towns; Data mining; Economic forecasting; Geology; Geoscience and remote sensing; Predictive models; Remote sensing; Rivers; Roads; Water;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5363284

Filename

5363284